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LSEG

Global financial market infrastructure and data

Senior Product Manager - AI

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeParis, FranceNo salary listedIn-person

About the Job

Requirements

  • At least 7 years of experience spanning software or machine-learning engineering and product development, or a closely related combination.
  • Demonstrated hands-on experience building with large language models and/or agentic frameworks; shipped products or features are preferred over academic work.
  • Working knowledge of production behavior of large language models and agentic systems, including tool use, prompt design, orchestration patterns, output variability, and failure modes.
  • Ability to write clear product requirements and define, review, and challenge technical specifications independently of engineering support.
  • Experience evaluating and testing AI outputs, defining acceptance criteria, identifying edge cases, and working with engineering teams to resolve model or integration issues.
  • Solid Python skills and familiarity with application programming interfaces, data pipelines, and cloud infrastructure.
  • Experience with real-time or near-real-time data systems and sensitivity to latency, throughput, and cost trade-offs.
  • Familiarity with responsible AI principles, including data quality, model performance monitoring, and bias considerations, and their implications for product design in regulated environments.
  • Ability to work across technical and commercial stakeholders and translate product decisions clearly for engineering teams and client-facing audiences.
  • Bachelor of Arts, Bachelor of Science, or Master's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.

Responsibilities

  • Contribute to the full AI product lifecycle, including discovery, requirements definition, development, testing, and deployment.
  • Design, build, and iterate on large-language-model-powered agentic workflows for complex, data-intensive use cases, applying orchestration patterns and tool-use design.
  • Translate business and user needs into actionable product requirements and agent configurations.
  • Define and monitor product performance metrics and acceptance criteria for AI outputs in production, covering accuracy, latency, cost, and auditability.
  • Manage the post-launch product lifecycle by tracking performance, gathering user feedback, and contributing to model or feature refresh cycles.
  • Contribute to system optimization across performance, cost, and operational constraints.
  • Collaborate with governance teams to ensure AI outputs meet internal quality, compliance, and interoperability standards.
  • Monitor evolving AI model capabilities, agentic frameworks, and protocol standards, and translate relevant developments into product opportunities.
  • Engage with internal stakeholders and cross-functional teams to support successful delivery of AI capabilities.
  • Support demonstrations and presentations of prototypes and new capabilities to internal and external audiences.
  • Build and share expertise in AI product design and agentic workflows across engineering, product, and domain teams.

Desired Qualifications

  • Exposure to AI partner platforms or ecosystems in a product, technical, or commercial capacity.

About the Company

LSEG

Global financial market infrastructure and data

LSEG provides global financial market infrastructure and data across the full value chain. It delivers data, analytics, and risk-management tools, benchmarks via FTSE Russell, regulatory and financial crime risk services, and trading, clearing, and settlement through its Capital Markets and Post Trade divisions, typically accessed via subscriptions, licensing, and fees. The company differentiates itself by offering an integrated, end-to-end platform that covers pre-trade data and analytics to post-trade processing with a broad, global footprint. Its goal is to grow over the long term by leveraging its diversified portfolio and international reach to create value for shareholders and customers.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1801

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